Senior RevOps Data & AI Engineer

🔥 12 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RD Station

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

📣 Marketing

💼 Consulting

📦 Logistics

Marketing • Consulting • Logistics

RD Station is a Brazilian SaaS company that provides integrated marketing automation, CRM and customer service solutions. Its platform helps businesses attract and qualify leads, run email and WhatsApp campaigns, create landing pages, automate sales processes, deploy chatbots and manage omnichannel conversations, with analytics and AI features as well as an app marketplace and developer APIs. RD Station targets companies and agencies seeking to connect marketing, sales and support workflows to drive growth and retention.

📋 Description

• Serve as the technology, data, and AI subject-matter expert for the Retention squad within RevOps (Data Solutions / GTM). • Design, build, and maintain ELT/ETL pipelines and data models within the Google ecosystem, using BigQuery, Google Cloud, Airflow, and dbt. • Ensure the quality, governance, and documentation of data used by Gainsight, BI, and Customer Success and Support systems. • Prepare the data layer for leadership BI dashboards in partnership with BI and Business Analysts. • Design and implement AI solutions for operations, including LLM automations, agents, copilots, and AI-assisted analysis. • Establish version control, deployment, observability, security, and cost management for sustainable automations and AI products. • Automate processes and integrations between systems through APIs, webhooks, and integration platforms. • Support system migrations and new product launches through data mapping and validation. • Translate Customer Success and Support needs into technical solutions, prioritizing them with leadership and communicating progress. • Share knowledge through documentation, best practices, and the responsible use of AI.

🎯 Requirements

• Extensive experience as a Data Engineer or Analytics Engineer, with demonstrated autonomy. • Hands-on experience building and maintaining data pipelines in production. • Practical knowledge of BigQuery and Google Cloud. • Experience with data orchestration and transformation using Airflow and/or dbt. • Practical experience using LLMs / generative AI in automations or products (APIs, prompts), even if you are still early in this journey. • Git and sound engineering practices, including version control, documentation, and testing. • Technical English proficiency for reading and documentation. • Bachelor’s degree in Technology, Engineering, Computer Science, Statistics, or a related field, or equivalent experience. • High-agency profile, end-to-end ownership, and an interest in understanding Customer Success and Support workflows. • Clear communication with technical and non-technical audiences, along with a habit of documenting what you learn.